考虑参数不确定性的井筒压力实时校正方法研究
Research on Real-Time Wellbore Pressure Correction Method Considering Parameter Uncertainty
侯晓东 1卢华涛 1张爽 1席志旭1
作者信息
- 1. 中海油田服务股份有限公司,河北廊坊 065201
- 折叠
摘要
为提高井筒压力预测的准确性和实时性,集合卡尔曼滤波被引入井筒压力预测模型,设计了考虑参数不确定性的实时校正方法.该模型综合考虑输入参数的不确定分布范围,以集合卡尔曼滤波为基础,利用实测数据进行实时校正,提高了井筒压力预测的准确性和实时性.
Abstract
To improve the accuracy and real-time performance of wellbore pressure prediction,Ensemble Kalman Filtering is introduced into the wellbore pressure prediction model,and a real-time correction method considering parameter uncertainty is designed.This model comprehensively considers the uncertain distribution range of input parameters,based on Ensemble Kalman filtering,and uses measured data for real-time correction,improving the accuracy and real-time performance of wellbore pressure prediction.
关键词
参数不确定性/井筒压力/实时校正/集合卡尔曼滤波Key words
parameter uncertainty/wellbore pressure/real-time correction/Ensemble Kalman Filtering引用本文复制引用
出版年
2024
NETL
NSTL
万方数据